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News
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency

2021.
Ovanesova Y., Moshiashvili M. M., Типсина Н. О.
The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team and the leader's attitude to the distance of power and uncertainty. Power of distance and aversion of uncertainty likewise affect the probability of a team falling within the planned spending budget. In addition, a positive relationship has been found between goal fulfillment and a manager's view on collectivism. Thus, the partial effectiveness of using the G. Hofstede classification for modeling the operational efficiency of digital ecosystems and the selection of team leaders is proved. The sample includes 101 observations from the team leader's answers on G. Hofstede classification indicators. The questionnaire consists of Hofstede's indicators description and grade from 1 till 10 to assess influence of indicators in analyzing teams.
Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology management business informatics
Language: English
DOI
Text on another site
Keywords: культурная спецификаоперационная эффективностьdigital ecosystemцифровые экосистемыoperational efficiencycultural specificG. Hofstede’s methodologyproduct teamsметодология Г. Хофстедепродуктовые команды
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